Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

Elham Nasarian,Moloud Abdar,Mohammad Amin Fahami,Roohallah Alizadehsani,Sadiq Hussain,Mohammad Ehsan Basiri,Mariam Zomorodi-Moghadam,Xujuan Zhou,Paweł Pławiak,U. Rajendra Acharya,Ru-San Tan,Nizal Sarrafzadegan

Pattern Recognition Letters（2020）

引用 71|浏览49

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摘要

•Automated classification of normal and CAD classes.•A new work-related coronary artery disease (CAD) data set.•Proposed a novel heterogeneous hybrid feature selection (2HFS) algorithm to pre-process the CAD data.•Work place, environmental and clinical features are used.•Obtained maximum performance using various data sets.

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关键词

Machine learning,Data mining,Heart disease,Coronary artery disease,Feature selection

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